Anomaly Detection in Industrial Networks: Current State, Classification, and Key Challenges

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU154906" target="_blank" >RIV/00216305:26220/24:PU154906 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10797650" target="_blank" >https://ieeexplore.ieee.org/document/10797650</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JSEN.2024.3512857" target="_blank" >10.1109/JSEN.2024.3512857</a>

Result language
angličtina
Original language name
Anomaly Detection in Industrial Networks: Current State, Classification, and Key Challenges
Original language description
Industrial networks, due to communication convergence, face a growing exposure to cyber threats, necessitating the need to address a wider range of threats, alongside their detectability and classification. As critical components designed with a strong emphasis on availability, industrial networks require precise classification of anomalies, encompassing not just cyber anomalies but also operational and service disruptions. This paper provides an analysis of these anomalies, categorizing them into three groups based on their impact. The key contribution of this study lies in the strategic distribution of data sources across the Operational Technology (OT) network, facilitating the collection of relevant data for application in Machine Learning (ML) or Neural Network (NN) models. A comprehensive review of current anomaly processing techniques in industrial networks is presented, identifying significant research challenges to advance artificial intelligence methods for anomaly classification in OT environments. Additionally, this work examines common statistical methods for anomaly detection and offers a comparative analysis of prevalent ML and NN techniques.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20203 - Telecommunications

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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